Food-grade CO2 was injected into a shallow aquifer through a perforated pipe placed horizontally 1–2 m below the water table at the Montana State University Zero Emission Research and Technology (MSU-ZERT) field site at Bozeman, Montana. The possible impact of elevated CO2 levels on groundwater quality was investigated by analyzing 80 water samples taken before, during, and following CO2 injection. Field determinations and laboratory analyses showed rapid and systematic changes in pH, alkalinity, and conductance, as well as increases in the aqueous concentrations of trace element species. The geochemical data were first evaluated using principal component analysis (PCA) in order to identify correlations between aqueous species. The PCA findings were then used in formulating a geochemical model to simulate the processes likely to be responsible for the observed increases in the concentrations of dissolved constituents. Modeling was conducted taking into account aqueous and surface complexation, cation exchange, and mineral precipitation and dissolution. Reasonable matches between measured data and model results suggest that: (1) CO2 dissolution in the groundwater causes calcite to dissolve. (2) Observed increases in the concentration of dissolved trace metals result likely from Ca+2-driven ion exchange with clays (smectites) and sorption/desorption reactions likely involving Fe (hydr)oxides. (3) Bicarbonate from CO2 dissolution appears to compete for sorption with anionic species such as HAsO4−2, potentially increasing dissolved As levels in groundwater.
This study investigates stable carbon isotopes (δ13C), opal phytolith assemblages, burnt phytoliths, microscopic charcoal and Sporormiella spores from modern soils and paleosols in Kansas and Oklahoma. Grass and dicot phytoliths in combination with δ13C are used as proxies for reconstructing the structure of grasslands and woodlands. Burnt grass phytoliths and microscopic charcoal are evaluated as proxies for reconstructing paleofire incidence. Concentrations of the fungal spore Sporormiella are used as a proxy for assessing large herbivore activity. These proxies were tested on various modern grassland communities of the central and southern Great Plains, including areas with bison, cattle, and small herbivores, and areas under different fire frequencies.
Opal phytolith assemblages and δ13C values show that before cal 11 ka, C3 grasses and woody plants predominated in areas that today are dominated by C4 grasses. The origin of the shortgrass prairie dates back to about cal 10 ka. The origin of the tallgrass prairie, however, is not clear as phytolith data show variable assemblages throughout the Holocene (mixed-grass, tallgrass, and tallgrass–woodland mosaic). Different proxies (burnt phytoliths vs. charcoal) reveal different fire frequencies, but it is apparent that microfossil evidence for fire incidence is closely related to the abundance of woody plants in the landscape.
Before cal 12 ka, soils show somewhat elevated concentration of Sporormiella, but lower concentrations than the modern high-density bison and cattle grazing areas. Throughout the Holocene, Sporormiella frequencies are low, which suggests lower large ungulate densities and perhaps high mobility.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2010.08.015","issn":"03418162","usgsCitation":"Cordova, C., Johnson, W., Mandel, R., and Palmer, M., 2011, Late Quaternary environmental change inferred from phytoliths and other soil-related proxies: Case studies from the central and southern Great Plains, USA: Catena, v. 85, no. 2, p. 87-108, https://doi.org/10.1016/j.catena.2010.08.015.","productDescription":"22 p.","startPage":"87","endPage":"108","costCenters":[],"links":[{"id":242852,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, New Mexico, Oklahoma, Texas","otherGeospatial":"Central and southern Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.05078125,\n 31.728167146023935\n ],\n [\n -104.94140625,\n 30.90222470517144\n ],\n [\n -103.53515625,\n 29.152161283318915\n ],\n [\n -101.689453125,\n 29.916852233070173\n ],\n [\n -97.822265625,\n 25.799891182088334\n ],\n [\n -97.20703125,\n 27.527758206861886\n ],\n [\n -93.33984375,\n 29.916852233070173\n ],\n [\n -93.955078125,\n 32.69486597787505\n ],\n [\n -94.5703125,\n 35.460669951495305\n ],\n [\n -94.74609375,\n 39.436192999314095\n ],\n [\n -95.25146484374999,\n 40.06125658140474\n ],\n [\n -102.216796875,\n 40.17887331434696\n ],\n [\n -102.3046875,\n 41.11246878918088\n ],\n [\n -109.3359375,\n 40.97989806962013\n ],\n [\n -109.16015624999999,\n 31.27855085894653\n ],\n [\n -107.9296875,\n 31.27855085894653\n ],\n [\n -107.841796875,\n 31.80289258670676\n ],\n [\n -107.05078125,\n 31.728167146023935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4526e4b0c8380cd67098","contributors":{"authors":[{"text":"Cordova, C.E.","contributorId":8303,"corporation":false,"usgs":true,"family":"Cordova","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":448939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, W.C.","contributorId":68003,"corporation":false,"usgs":true,"family":"Johnson","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":448941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandel, R.D.","contributorId":58000,"corporation":false,"usgs":true,"family":"Mandel","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":448940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmer, M.W.","contributorId":88703,"corporation":false,"usgs":true,"family":"Palmer","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":448942,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035027,"text":"70035027 - 2011 - Evaluating the effect of predators on white-tailed deer: Movement and diet of coyotes","interactions":[],"lastModifiedDate":"2017-04-06T13:43:08","indexId":"70035027","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effect of predators on white-tailed deer: Movement and diet of coyotes","docAbstract":"Coyotes (Canis latrans) may affect adult and neonate white-tailed deer (Odocoileus virginianus) survival and have been implicated as a contributor to the decline of deer populations. Additionally, coyote diet composition is influenced by prey availability, season, and region. Because coyote movement and diet vary by region, local data are important to understand coyote population dynamics and their impact on prey species. In southeast Minnesota, we investigated the effect of coyotes on white-tailed deer populations by documenting movement rates, distances moved, and habitats searched by coyotes during fawning and nonfawning periods. Additionally, we determined survival, cause-specific mortality, and seasonal diet composition of coyotes. From 2001 to 2003, we captured and radiocollared 30 coyotes. Per-hour rate of movement averaged 0.87 km and was greater (P = 0.046) during the fawning (1.07 km) than the nonfawning period (0.80 km); areas searched were similar (P = 0.175) between seasons. Coyote habitat use differed during both seasons; habitats were not used in proportion to their availability (P < 0.001). Croplands were used more (P < 0.001) than their proportional availability during both seasons. Use of grasslands was greater during the fawning period (P = 0.030), whereas use of cropland was greater in the nonfawning period (P < 0.001). We collected 66 fecal samples during the nonfawning period; coyote diets were primarily composed of Microtus spp. (65.2%), and consumption of deer was 9.1%. During the study, 19 coyotes died; annual survival rate range was 0.33–0.41, which was low compared with other studies. Consumption of deer was low and coyotes searched open areas (i.e., cropland) more than fawning areas with dense cover. These factors in addition to high coyote mortality suggested that coyote predation was not likely limiting white-tailed deer populations in southeast Minnesota.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.109","issn":"0022541X","usgsCitation":"Turner, M., Rockhill, A., Deperno, C., Jenks, J., Klaver, R., Jarding, A., Grovenburg, T., and Pollock, K.H., 2011, Evaluating the effect of predators on white-tailed deer: Movement and diet of coyotes: Journal of Wildlife Management, v. 75, no. 4, p. 905-912, https://doi.org/10.1002/jwmg.109.","productDescription":"8 p.","startPage":"905","endPage":"912","numberOfPages":"8","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215081,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.109"}],"volume":"75","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"505a0bf7e4b0c8380cd52983","contributors":{"authors":[{"text":"Turner, M.M.","contributorId":26895,"corporation":false,"usgs":true,"family":"Turner","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":448943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rockhill, A.P.","contributorId":70200,"corporation":false,"usgs":true,"family":"Rockhill","given":"A.P.","affiliations":[],"preferred":false,"id":448947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deperno, C.S.","contributorId":97870,"corporation":false,"usgs":true,"family":"Deperno","given":"C.S.","affiliations":[],"preferred":false,"id":448949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenks, J.A.","contributorId":31726,"corporation":false,"usgs":true,"family":"Jenks","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":448944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klaver, R. W. 0000-0002-3263-9701","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":50267,"corporation":false,"usgs":true,"family":"Klaver","given":"R. W.","affiliations":[],"preferred":false,"id":448945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarding, A.R.","contributorId":108329,"corporation":false,"usgs":true,"family":"Jarding","given":"A.R.","affiliations":[],"preferred":false,"id":448950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grovenburg, T.W.","contributorId":78163,"corporation":false,"usgs":true,"family":"Grovenburg","given":"T.W.","affiliations":[],"preferred":false,"id":448948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pollock, K. H.","contributorId":65184,"corporation":false,"usgs":false,"family":"Pollock","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":448946,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035086,"text":"70035086 - 2011 - A wavelength-dependent visible and infrared spectrophotometric function for the Moon based on ROLO data","interactions":[],"lastModifiedDate":"2021-03-01T21:01:09.545734","indexId":"70035086","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"A wavelength-dependent visible and infrared spectrophotometric function for the Moon based on ROLO data","docAbstract":"The USGS's Robotic Lunar Observatory (ROLO) dedicated ground‐based lunar calibration project obtained photometric observations of the Moon over the spectral range attainable from Earth (0.347–2.39 μm) and over solar phase angles of 1.55°–97°. From these observations, we derived empirical lunar surface solar phase functions for both the highlands and maria that can be used for a wide range of applications. The functions can be used to correct for the effects of viewing geometry to produce lunar mosaics, spectra, and quick‐look products for future lunar missions and ground‐based observations. Our methodology can be used for a wide range of objects for which multiply scattered radiation is not significant, including all but the very brightest asteroids and moons.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003724","issn":"01480227","usgsCitation":"Buratti, B.J., Hicks, M., Nettles, J., Staid, M., Pieters, C., Sunshine, J., Boardman, J., and Stone, T., 2011, A wavelength-dependent visible and infrared spectrophotometric function for the Moon based on ROLO data: Journal of Geophysical Research E: Planets, v. 116, no. 4, E00G03, 8 p., https://doi.org/10.1029/2010JE003724.","productDescription":"E00G03, 8 p.","costCenters":[],"links":[{"id":475176,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003724","text":"Publisher Index Page"},{"id":243255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215448,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003724"}],"volume":"116","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-05","publicationStatus":"PW","scienceBaseUri":"5059e61ce4b0c8380cd47180","contributors":{"authors":[{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":449225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hicks, M.D.","contributorId":7045,"corporation":false,"usgs":true,"family":"Hicks","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":449221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nettles, J.","contributorId":108340,"corporation":false,"usgs":true,"family":"Nettles","given":"J.","email":"","affiliations":[],"preferred":false,"id":449228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staid, M.","contributorId":68561,"corporation":false,"usgs":true,"family":"Staid","given":"M.","email":"","affiliations":[],"preferred":false,"id":449224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pieters, C.M.","contributorId":48733,"corporation":false,"usgs":true,"family":"Pieters","given":"C.M.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":449223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sunshine, J.","contributorId":19812,"corporation":false,"usgs":true,"family":"Sunshine","given":"J.","email":"","affiliations":[],"preferred":false,"id":449222,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boardman, J.","contributorId":74184,"corporation":false,"usgs":true,"family":"Boardman","given":"J.","affiliations":[],"preferred":false,"id":449226,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stone, Thomas C. tstone@usgs.gov","contributorId":3176,"corporation":false,"usgs":true,"family":"Stone","given":"Thomas C.","email":"tstone@usgs.gov","affiliations":[],"preferred":true,"id":449227,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035087,"text":"70035087 - 2011 - Prototyping an online wetland ecosystem services model using open model sharing standards","interactions":[],"lastModifiedDate":"2017-04-06T12:30:28","indexId":"70035087","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Prototyping an online wetland ecosystem services model using open model sharing standards","docAbstract":"Great interest currently exists for developing ecosystem models to forecast how ecosystem services may change under alternative land use and climate futures. Ecosystem services are diverse and include supporting services or functions (e.g., primary production, nutrient cycling), provisioning services (e.g., wildlife, groundwater), regulating services (e.g., water purification, floodwater retention), and even cultural services (e.g., ecotourism, cultural heritage). Hence, the knowledge base necessary to quantify ecosystem services is broad and derived from many diverse scientific disciplines. Building the required interdisciplinary models is especially challenging as modelers from different locations and times may develop the disciplinary models needed for ecosystem simulations, and these models must be identified and made accessible to the interdisciplinary simulation. Additional difficulties include inconsistent data structures, formats, and metadata required by geospatial models as well as limitations on computing, storage, and connectivity. Traditional standalone and closed network systems cannot fully support sharing and integrating interdisciplinary geospatial models from variant sources. To address this need, we developed an approach to openly share and access geospatial computational models using distributed Geographic Information System (GIS) techniques and open geospatial standards. We included a means to share computational models compliant with Open Geospatial Consortium (OGC) Web Processing Services (WPS) standard to ensure modelers have an efficient and simplified means to publish new models. To demonstrate our approach, we developed five disciplinary models that can be integrated and shared to simulate a few of the ecosystem services (e.g., water storage, waterfowl breeding) that are provided by wetlands in the Prairie Pothole Region (PPR) of North America.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2010.10.008","issn":"13648152","usgsCitation":"Feng, M., Liu, S., Euliss, N., Young, C., and Mushet, D., 2011, Prototyping an online wetland ecosystem services model using open model sharing standards: Environmental Modelling and Software, v. 26, no. 4, p. 458-468, https://doi.org/10.1016/j.envsoft.2010.10.008.","productDescription":"11 p.","startPage":"458","endPage":"468","numberOfPages":"11","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215479,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2010.10.008"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f98e4b0c8380cd7f860","contributors":{"authors":[{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":449229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":449233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, N.H.","contributorId":27836,"corporation":false,"usgs":true,"family":"Euliss","given":"N.H.","affiliations":[],"preferred":false,"id":449230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":449231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":449232,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036757,"text":"70036757 - 2011 - Challenges in identifying sites climatically matched to the native ranges of animal invaders","interactions":[],"lastModifiedDate":"2012-03-12T17:22:01","indexId":"70036757","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Challenges in identifying sites climatically matched to the native ranges of animal invaders","docAbstract":"Background: Species distribution models are often used to characterize a species' native range climate, so as to identify sites elsewhere in the world that may be climatically similar and therefore at risk of invasion by the species. This endeavor provoked intense public controversy over recent attempts to model areas at risk of invasion by the Indian Python (Python molurus). We evaluated a number of MaxEnt models on this species to assess MaxEnt's utility for vertebrate climate matching. Methodology/Principal Findings: Overall, we found MaxEnt models to be very sensitive to modeling choices and selection of input localities and background regions. As used, MaxEnt invoked minimal protections against data dredging, multi-collinearity of explanatory axes, and overfitting. As used, MaxEnt endeavored to identify a single ideal climate, whereas different climatic considerations may determine range boundaries in different parts of the native range. MaxEnt was extremely sensitive to both the choice of background locations for the python, and to selection of presence points: inclusion of just four erroneous localities was responsible for Pyron et al.'s conclusion that no additional portions of the U.S. mainland were at risk of python invasion. When used with default settings, MaxEnt overfit the realized climate space, identifying models with about 60 parameters, about five times the number of parameters justifiable when optimized on the basis of Akaike's Information Criterion. Conclusions/Significance: When used with default settings, MaxEnt may not be an appropriate vehicle for identifying all sites at risk of colonization. Model instability and dearth of protections against overfitting, multi-collinearity, and data dredging may combine with a failure to distinguish fundamental from realized climate envelopes to produce models of limited utility. A priori identification of biologically realistic model structure, combined with computational protections against these statistical problems, may produce more robust models of invasion risk.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1371/journal.pone.0014670","issn":"19326203","usgsCitation":"Rodda, G., Jarnevich, C., and Reed, R., 2011, Challenges in identifying sites climatically matched to the native ranges of animal invaders: PLoS ONE, v. 6, no. 2, https://doi.org/10.1371/journal.pone.0014670.","costCenters":[],"links":[{"id":475235,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0014670","text":"Publisher Index Page"},{"id":217881,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0014670"},{"id":245854,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-09","publicationStatus":"PW","scienceBaseUri":"5059f3fbe4b0c8380cd4ba78","contributors":{"authors":[{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":457679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, C. S.","contributorId":54932,"corporation":false,"usgs":true,"family":"Jarnevich","given":"C. S.","affiliations":[],"preferred":false,"id":457678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, R.N. 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":49092,"corporation":false,"usgs":true,"family":"Reed","given":"R.N.","affiliations":[],"preferred":false,"id":457677,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035272,"text":"70035272 - 2011 - Near-field hazard assessment of March 11, 2011 Japan Tsunami sources inferred from different methods","interactions":[],"lastModifiedDate":"2021-03-08T12:35:24.696834","indexId":"70035272","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Near-field hazard assessment of March 11, 2011 Japan Tsunami sources inferred from different methods","docAbstract":"Tsunami source is the origin of the subsequent transoceanic water waves, and thus the most critical component in modern tsunami forecast methodology. Although impractical to be quantified directly, a tsunami source can be estimated by different methods based on a variety of measurements provided by deep-ocean tsunameters, seismometers, GPS, and other advanced instruments, some in real time, some in post real-time. Here we assess these different sources of the devastating March 11, 2011 Japan tsunami by model-data comparison for generation, propagation and inundation in the near field of Japan. This study provides a comparative study to further understand the advantages and shortcomings of different methods that may be potentially used in real-time warning and forecast of tsunami hazards, especially in the near field. The model study also highlights the critical role of deep-ocean tsunami measurements for high-quality tsunami forecast, and its combination with land GPS measurements may lead to better understanding of both the earthquake mechanisms and tsunami generation process.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"OCEANS'11 - MTS/IEEE Kona, Program Book","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"MTS/IEEE Kona Conference, OCEANS'11","conferenceDate":"September 19-22, 2011","conferenceLocation":"Kona, HI","language":"English","publisher":"IEEE","doi":"10.23919/OCEANS.2011.6107294","isbn":"9781457714276","usgsCitation":"Wei, Y., Titov, V., Newman, A., Hayes, G., Tang, L., and Chamberlin, C., 2011, Near-field hazard assessment of March 11, 2011 Japan Tsunami sources inferred from different methods, in OCEANS'11 - MTS/IEEE Kona, Program Book, Kona, HI, September 19-22, 2011, 9 p., https://doi.org/10.23919/OCEANS.2011.6107294.","productDescription":"9 p.","costCenters":[],"links":[{"id":243070,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[134.63843,34.14923],[134.76638,33.80633],[134.20342,33.20118],[133.79295,33.52199],[133.28027,33.28957],[133.01486,32.70457],[132.36311,32.98938],[132.37118,33.46364],[132.92437,34.0603],[133.49297,33.94462],[133.90411,34.36493],[134.63843,34.14923]]],[[[140.97639,37.14207],[140.59977,36.34398],[140.77407,35.84288],[140.25328,35.13811],[138.97553,34.6676],[137.2176,34.60629],[135.79298,33.46481],[135.12098,33.84907],[135.07943,34.59654],[133.34032,34.37594],[132.15677,33.90493],[130.98614,33.88576],[132.00004,33.14999],[131.33279,31.45035],[130.68632,31.02958],[130.20242,31.41824],[130.44768,32.31947],[129.81469,32.61031],[129.40846,33.29606],[130.35394,33.60415],[130.87845,34.23274],[131.88423,34.74971],[132.61767,35.43339],[134.6083,35.73162],[135.67754,35.52713],[136.72383,37.30498],[137.39061,36.82739],[138.8576,37.82748],[139.4264,38.21596],[140.05479,39.43881],[139.88338,40.56331],[140.30578,41.19501],[141.36897,41.37856],[141.91426,39.99162],[141.8846,39.18086],[140.95949,38.174],[140.97639,37.14207]]],[[[143.91016,44.1741],[144.61343,43.96088],[145.32083,44.38473],[145.54314,43.26209],[144.05966,42.98836],[143.18385,41.99521],[141.61149,42.67879],[141.06729,41.58459],[139.95511,41.56956],[139.81754,42.56376],[140.31209,43.33327],[141.38055,43.38882],[141.67195,44.77213],[141.96764,45.55148],[143.14287,44.51036],[143.91016,44.1741]]]]},\"properties\":{\"name\":\"Japan\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a63dee4b0c8380cd72749","contributors":{"authors":[{"text":"Wei, Y.","contributorId":9502,"corporation":false,"usgs":true,"family":"Wei","given":"Y.","email":"","affiliations":[],"preferred":false,"id":449971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Titov, V.V.","contributorId":48752,"corporation":false,"usgs":true,"family":"Titov","given":"V.V.","email":"","affiliations":[],"preferred":false,"id":449973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, A.","contributorId":32791,"corporation":false,"usgs":true,"family":"Newman","given":"A.","affiliations":[],"preferred":false,"id":449972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, G.","contributorId":81349,"corporation":false,"usgs":true,"family":"Hayes","given":"G.","affiliations":[],"preferred":false,"id":449975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Liujuan","contributorId":34045,"corporation":false,"usgs":true,"family":"Tang","given":"Liujuan","email":"","affiliations":[],"preferred":false,"id":449976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chamberlin, C.","contributorId":76197,"corporation":false,"usgs":true,"family":"Chamberlin","given":"C.","email":"","affiliations":[],"preferred":false,"id":449974,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035325,"text":"70035325 - 2011 - Generalized bootstrap method for assessment of uncertainty in semivariogram inference","interactions":[],"lastModifiedDate":"2018-09-20T15:28:47","indexId":"70035325","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Generalized bootstrap method for assessment of uncertainty in semivariogram inference","docAbstract":"The semivariogram and its related function, the covariance, play a central role in classical geostatistics for modeling the average continuity of spatially correlated attributes. Whereas all methods are formulated in terms of the true semivariogram, in practice what can be used are estimated semivariograms and models based on samples. A generalized form of the bootstrap method to properly model spatially correlated data is used to advance knowledge about the reliability of empirical semivariograms and semivariogram models based on a single sample. Among several methods available to generate spatially correlated resamples, we selected a method based on the LU decomposition and used several examples to illustrate the approach. The first one is a synthetic, isotropic, exhaustive sample following a normal distribution, the second example is also a synthetic but following a non-Gaussian random field, and a third empirical sample consists of actual raingauge measurements. Results show wider confidence intervals than those found previously by others with inadequate application of the bootstrap. Also, even for the Gaussian example, distributions for estimated semivariogram values and model parameters are positively skewed. In this sense, bootstrap percentile confidence intervals, which are not centered around the empirical semivariogram and do not require distributional assumptions for its construction, provide an achieved coverage similar to the nominal coverage. The latter cannot be achieved by symmetrical confidence intervals based on the standard error, regardless if the standard error is estimated from a parametric equation or from bootstrap.
","language":"English","publisher":"Springer","doi":"10.1007/s11004-010-9269-6","issn":"18748961","usgsCitation":"Olea, R., and Pardo-Iguzquiza, E., 2011, Generalized bootstrap method for assessment of uncertainty in semivariogram inference: Mathematical Geosciences, v. 43, no. 2, p. 203-228, https://doi.org/10.1007/s11004-010-9269-6.","productDescription":"26 p.","startPage":"203","endPage":"228","ipdsId":"IP-013963","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":242905,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215127,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11004-010-9269-6"}],"volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-02-24","publicationStatus":"PW","scienceBaseUri":"505a1515e4b0c8380cd54cad","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":26436,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":450190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardo-Iguzquiza, E.","contributorId":34345,"corporation":false,"usgs":true,"family":"Pardo-Iguzquiza","given":"E.","affiliations":[],"preferred":false,"id":450191,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035649,"text":"70035649 - 2011 - Effects of reduction in porosity and permeability with depth on storage capacity and injectivity in deep saline aquifers: A case study from the Mount Simon Sandstone aquifer","interactions":[],"lastModifiedDate":"2021-02-17T21:12:22.416992","indexId":"70035649","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"title":"Effects of reduction in porosity and permeability with depth on storage capacity and injectivity in deep saline aquifers: A case study from the Mount Simon Sandstone aquifer","docAbstract":"The Upper Cambrian Mount Simon Sandstone is recognized as a deep saline reservoir that has significant potential for geological sequestration in the Midwestern region of the United States. Porosity and permeability values collected from core analyses in rocks from this formation and its lateral equivalents in Indiana, Kentucky, Michigan, and Ohio indicate a predictable relationship with depth owing to a reduction in the pore structure due to the effects of compaction and/or cementation, primarily as quartz overgrowths. The regional trend of decreasing porosity with depth is described by the equation: ϕ(d) = 16.36 × e−0.00039*d, where ϕ is the porosity and d is the depth in m. The decrease of porosity with depth generally holds true on a basinwide scale. Bearing in mind local variations in lithologic and petrophysical character within the Mount Simon Sandstone, the source data that were used to predict porosity were utilized to estimate the pore volume available within the reservoir that could potentially serve as storage space for injected CO2. The potential storage capacity estimated for the Mount Simon Sandstone in the study area, using efficiency factors of 1%, 5%, 10%, and 15%, is 23,680, 118,418, 236,832, and 355,242 million metric tons of CO2, respectively.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijggc.2010.03.001","issn":"17505836","usgsCitation":"Medina, C., Rupp, J., and Barnes, D., 2011, Effects of reduction in porosity and permeability with depth on storage capacity and injectivity in deep saline aquifers: A case study from the Mount Simon Sandstone aquifer: International Journal of Greenhouse Gas Control, v. 5, no. 1, p. 146-156, https://doi.org/10.1016/j.ijggc.2010.03.001.","productDescription":"11 p.","startPage":"146","endPage":"156","costCenters":[],"links":[{"id":488083,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1039694","text":"External Repository"},{"id":244265,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216398,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ijggc.2010.03.001"}],"country":"United States","state":"Ohio, Illinois, Michigan, Kentucky, West Virginia, Pennsylvania, New York","otherGeospatial":"Mount Simon Sandstone aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.62695312499999,\n 41.96765920367816\n ],\n [\n -90.439453125,\n 40.84706035607122\n ],\n [\n -91.23046875,\n 40.111688665595956\n ],\n [\n -90.087890625,\n 39.095962936305476\n ],\n [\n -90,\n 38.20365531807149\n ],\n [\n -89.20898437499999,\n 37.09023980307208\n ],\n [\n -83.671875,\n 36.80928470205937\n ],\n [\n -81.5625,\n 38.06539235133249\n ],\n [\n -80.419921875,\n 39.842286020743394\n ],\n [\n -79.8046875,\n 40.97989806962013\n ],\n [\n -76.11328125,\n 41.44272637767212\n ],\n [\n -74.53125,\n 42.35854391749705\n ],\n [\n -73.740234375,\n 43.004647127794435\n ],\n [\n -74.00390625,\n 44.15068115978094\n ],\n [\n -75.9375,\n 43.96119063892024\n ],\n [\n -76.552734375,\n 43.32517767999296\n ],\n [\n -79.189453125,\n 43.32517767999296\n ],\n [\n -79.1015625,\n 42.8115217450979\n ],\n [\n -83.232421875,\n 41.44272637767212\n ],\n [\n -83.3203125,\n 42.09822241118974\n ],\n [\n -82.529296875,\n 43.26120612479979\n ],\n [\n -82.705078125,\n 44.33956524809713\n ],\n [\n -83.408203125,\n 45.706179285330855\n ],\n [\n -84.375,\n 46.558860303117164\n ],\n [\n -86.484375,\n 47.21956811231547\n ],\n [\n -88.59374999999999,\n 47.81315451752768\n ],\n [\n -90.703125,\n 47.100044694025215\n ],\n [\n -90.703125,\n 46.558860303117164\n ],\n [\n -88.06640625,\n 45.767522962149876\n ],\n [\n -87.275390625,\n 45.089035564831036\n ],\n [\n -87.62695312499999,\n 43.51668853502906\n ],\n [\n -87.62695312499999,\n 41.96765920367816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a07ade4b0c8380cd51799","contributors":{"authors":[{"text":"Medina, C.R.","contributorId":58857,"corporation":false,"usgs":true,"family":"Medina","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":451624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rupp, J.A.","contributorId":30596,"corporation":false,"usgs":true,"family":"Rupp","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":451622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, D.A.","contributorId":34786,"corporation":false,"usgs":true,"family":"Barnes","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":451623,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035650,"text":"70035650 - 2011 - An Analysis of the Published Mineral Resource Estimates of the Haji-Gak Iron Deposit, Afghanistan","interactions":[],"lastModifiedDate":"2021-08-23T16:24:38.902248","indexId":"70035650","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"An Analysis of the Published Mineral Resource Estimates of the Haji-Gak Iron Deposit, Afghanistan","docAbstract":"The Haji-Gak iron deposit of eastern Bamyan Province, eastern Afghanistan, was studied extensively and resource calculations were made in the 1960s by Afghan and Russian geologists. Recalculation of the resource estimates verifies the original estimates for categories A (in-place resources known in detail), B (in-place resources known in moderate detail), and C1 (in-place resources estimated on sparse data), totaling 110.8 Mt, or about 6% of the resources as being supportable for the methods used in the 1960s. C2 (based on a loose exploration grid with little data) resources are based on one ore grade from one drill hole, and P2 (prognosis) resources are based on field observations, field measurements, and an ore grade derived from averaging grades from three better sampled ore bodies. C2 and P2 resources are 1,659.1 Mt or about 94% of the total resources in the deposit. The vast P2 resources have not been drilled or sampled to confirm their extent or quality. The purpose of this article is to independently evaluate the resources of the Haji-Gak iron deposit by using the available geologic and mineral resource information including geologic maps and cross sections, sampling data, and the analog-estimating techniques of the 1960s to determine the size and tenor of the deposit.
","largerWorkTitle":"Natural Resources Research","language":"English","publisher":"Springer Link","doi":"10.1007/s11053-011-9154-0","issn":"15207439","usgsCitation":"Sutphin, D., Renaud, K., and Drew, L., 2011, An Analysis of the Published Mineral Resource Estimates of the Haji-Gak Iron Deposit, Afghanistan: Natural Resources Research, v. 20, no. 4, p. 329-353, https://doi.org/10.1007/s11053-011-9154-0.","productDescription":"25 p.","startPage":"329","endPage":"353","costCenters":[],"links":[{"id":244266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216399,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-011-9154-0"}],"country":"Afghanistan","otherGeospatial":"Haji-Gak iron deposit in Eastern Afghanistan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 67.91748046874999,\n 34.00713506435885\n ],\n [\n 69.3511962890625,\n 34.00713506435885\n ],\n [\n 69.3511962890625,\n 35.250105158539355\n ],\n [\n 67.91748046874999,\n 35.250105158539355\n ],\n [\n 67.91748046874999,\n 34.00713506435885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-10-18","publicationStatus":"PW","scienceBaseUri":"5059e9d0e4b0c8380cd48491","contributors":{"authors":[{"text":"Sutphin, David M.","contributorId":53769,"corporation":false,"usgs":true,"family":"Sutphin","given":"David M.","affiliations":[],"preferred":false,"id":451625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renaud, Karine krenaud@usgs.gov","contributorId":195405,"corporation":false,"usgs":true,"family":"Renaud","given":"Karine","email":"krenaud@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":451626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drew, Lawrence J. ldrew@usgs.gov","contributorId":190730,"corporation":false,"usgs":true,"family":"Drew","given":"Lawrence J.","email":"ldrew@usgs.gov","affiliations":[],"preferred":false,"id":451627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035651,"text":"70035651 - 2011 - New insights of tsunami hazard from the 2011 Tohoku-oki event","interactions":[],"lastModifiedDate":"2021-02-17T20:33:46.421598","indexId":"70035651","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"New insights of tsunami hazard from the 2011 Tohoku-oki event","docAbstract":"We report initial results from our recent field survey documenting the inundation and resultant deposits of the 2011 Tohoku-oki tsunami from Sendai Plain, Japan. The tsunami inundated up to 4.5 km inland but the > 0.5 cm-thick sand deposit extended only 2.8 km (62% of the inundation distance). The deposit however continued as a mud layer to the inundation limit. The mud deposit contained high concentrations of water-leachable chloride and we conclude that geochemical markers and microfossil data may prove to be useful in identifying the maximum inundation limit of paleotsunamis that could extend well beyond any preserved sand layer. Our newly acquired data on the 2011 event suggest that previous estimates of paleotsunamis (e.g. 869 AD Jōgan earthquake and tsunami) in this area have probably been underestimated. If the 2011 and 869 AD events are indeed comparable, the risk from these natural hazards in Japan is much greater than previously recognized.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2011.10.004","issn":"00253227","usgsCitation":"Goto, K., Chague-Goff, C., Fujino, S., Goff, J., Jaffe, B., Nishimura, Y., Richmond, B.M., Sugawara, D., Szczucinski, W., Tappin, D., Witter, R., and Yulianto, E., 2011, New insights of tsunami hazard from the 2011 Tohoku-oki event: Marine Geology, v. 290, no. 1-4, p. 46-50, https://doi.org/10.1016/j.margeo.2011.10.004.","productDescription":"5 p.","startPage":"46","endPage":"50","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244294,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216424,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2011.10.004"}],"country":"Japan","otherGeospatial":"Sendai Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 140.679931640625,\n 38.013476231041935\n ],\n [\n 141.1248779296875,\n 38.013476231041935\n ],\n [\n 141.1248779296875,\n 38.42024233971636\n ],\n [\n 140.679931640625,\n 38.42024233971636\n ],\n [\n 140.679931640625,\n 38.013476231041935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"290","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a65dde4b0c8380cd72c74","contributors":{"authors":[{"text":"Goto, K.","contributorId":20568,"corporation":false,"usgs":true,"family":"Goto","given":"K.","email":"","affiliations":[],"preferred":false,"id":451628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chague-Goff, C.","contributorId":59651,"corporation":false,"usgs":true,"family":"Chague-Goff","given":"C.","affiliations":[],"preferred":false,"id":451633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujino, S.","contributorId":35155,"corporation":false,"usgs":true,"family":"Fujino","given":"S.","email":"","affiliations":[],"preferred":false,"id":451629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goff, J.","contributorId":50730,"corporation":false,"usgs":true,"family":"Goff","given":"J.","email":"","affiliations":[],"preferred":false,"id":451631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaffe, Bruce","contributorId":203445,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":451637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nishimura, Y.","contributorId":58442,"corporation":false,"usgs":true,"family":"Nishimura","given":"Y.","email":"","affiliations":[],"preferred":false,"id":451632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":451635,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sugawara, D.","contributorId":78169,"corporation":false,"usgs":true,"family":"Sugawara","given":"D.","affiliations":[],"preferred":false,"id":451636,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Szczucinski, Witold","contributorId":76572,"corporation":false,"usgs":false,"family":"Szczucinski","given":"Witold","email":"","affiliations":[],"preferred":false,"id":451634,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tappin, D.R.","contributorId":104306,"corporation":false,"usgs":true,"family":"Tappin","given":"D.R.","affiliations":[],"preferred":false,"id":451639,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":451630,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Yulianto, E.","contributorId":94871,"corporation":false,"usgs":true,"family":"Yulianto","given":"E.","email":"","affiliations":[],"preferred":false,"id":451638,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70035655,"text":"70035655 - 2011 - Making United States Integrated Ocean Observing System (U.S. IOOS) inclusive of marine biological resources","interactions":[],"lastModifiedDate":"2021-02-17T19:59:38.150286","indexId":"70035655","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Making United States Integrated Ocean Observing System (U.S. IOOS) inclusive of marine biological resources","docAbstract":"An important Data Management and Communication (DMAC) goal is to enable a multi-disciplinary view of the ocean environment by facilitating discovery and integration of data from various sources, projects and scientific domains. United States Integrated Ocean Observing System (U.S. IOOS) DMAC functional requirements are based upon guidelines for standardized data access services, data formats, metadata, controlled vocabularies, and other conventions. So far, the data integration effort has focused on geophysical U.S. IOOS core variables such as temperature, salinity, ocean currents, etc. The IOOS Biological Observations Project is addressing the DMAC requirements that pertain to biological observations standards and interoperability applicable to U.S. IOOS and to various observing systems. Biological observations are highly heterogeneous and the variety of formats, logical structures, and sampling methods create significant challenges. Here we describe an informatics framework for biological observing data (e.g. species presence/absence and abundance data) that will expand information content and reconcile standards for the representation and integration of these biological observations for users to maximize the value of these observing data. We further propose that the approach described can be applied to other datasets generated in scientific observing surveys and will provide a vehicle for wider dissemination of biological observing data. We propose to employ data definition conventions that are well understood in U.S. IOOS and to combine these with ratified terminologies, policies and guidelines.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"OCEANS'11 - MTS/IEEE Kona, Program Book","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"MTS/IEEE Kona Conference, OCEANS'11","conferenceDate":"September 19-21, 2011","conferenceLocation":"Kona, HI","language":"English","publisher":"IEEE","doi":"10.23919/OCEANS.2011.6106922","isbn":"9781457714276","usgsCitation":"Moustahfid, H., Potemra, J., Goldstein, P., Mendelssohn, R., and Desrochers, A., 2011, Making United States Integrated Ocean Observing System (U.S. IOOS) inclusive of marine biological resources, in OCEANS'11 - MTS/IEEE Kona, Program Book, Kona, HI, September 19-21, 2011, 9 p., https://doi.org/10.23919/OCEANS.2011.6106922.","productDescription":"9 p.","costCenters":[],"links":[{"id":243884,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4c34e4b0c8380cd69aaa","contributors":{"authors":[{"text":"Moustahfid, H.","contributorId":10636,"corporation":false,"usgs":true,"family":"Moustahfid","given":"H.","affiliations":[],"preferred":false,"id":451691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Potemra, J.","contributorId":92076,"corporation":false,"usgs":true,"family":"Potemra","given":"J.","email":"","affiliations":[],"preferred":false,"id":451694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, P.","contributorId":101110,"corporation":false,"usgs":true,"family":"Goldstein","given":"P.","email":"","affiliations":[],"preferred":false,"id":451695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mendelssohn, R.","contributorId":80924,"corporation":false,"usgs":true,"family":"Mendelssohn","given":"R.","email":"","affiliations":[],"preferred":false,"id":451693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Desrochers, A.","contributorId":66820,"corporation":false,"usgs":false,"family":"Desrochers","given":"A.","email":"","affiliations":[],"preferred":false,"id":451692,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035656,"text":"70035656 - 2011 - Use of habitats by female mallards wintering in Southwestern Louisiana","interactions":[],"lastModifiedDate":"2012-03-12T17:21:39","indexId":"70035656","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Use of habitats by female mallards wintering in Southwestern Louisiana","docAbstract":"Habitat use by wintering Mallards (Anas platyrhychos) on the Gulf Coast Chenier Plain (GCCP) has received little study and quantitative data is needed for management of GCCP waterfowl. Radio-telemetry techniques were used to record habitats used by 135 female Mallards during winters 2004-2005 and 2005-2006 in south-western Louisiana. Habitat use was quantitatively estimated for areas open and closed to hunting, by general habitat types (i.e., marsh, rice, idle, pasture, or other), and for specific marsh types (i.e., freshwater, intermediate, brackish, or salt). Variation in these estimates was subsequently examined in relation to individual female, female age (adult or immature), winter (2004-2005 or 2005-2006), and hunt periods within winter (second hunting season [SHUNT] or post hunting season [POST]). Diurnal use of areas closed to hunting was greater during hunted time periods in winter 2005-2006 than in winter 2004-2005. Nocturnal use of areas closed to hunting was 3.1 times greater during SHUNT than during POST, and immatures used areas closed to hunting more than adults. Diurnal use of marsh was 3.3 times greater than that of any other habitat during both winters. Nocturnal use of marsh, rice, idle, and pasture were similar during both winters. Females used freshwater marsh habitats extensively (64.699.8% proportional use), whereas brackish and salt marsh combined was used less frequently (035.8% proportional use). These results suggest that freshwater marsh is important to Mallards and a high priority for restoration and management efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1675/063.034.0405","issn":"15244695","usgsCitation":"Link, P.T., Afton, A., Cox, R.R., and Davis, B., 2011, Use of habitats by female mallards wintering in Southwestern Louisiana: Waterbirds, v. 34, no. 4, p. 429-438, https://doi.org/10.1675/063.034.0405.","startPage":"429","endPage":"438","numberOfPages":"10","costCenters":[],"links":[{"id":216045,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.034.0405"},{"id":243885,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbf1fe4b08c986b32997d","contributors":{"authors":[{"text":"Link, Paul T.","contributorId":53611,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":451696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afton, A. D.","contributorId":83467,"corporation":false,"usgs":true,"family":"Afton","given":"A. D.","affiliations":[],"preferred":false,"id":451698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, R. R. Jr.","contributorId":57006,"corporation":false,"usgs":true,"family":"Cox","given":"R.","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":451697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, B.E.","contributorId":101467,"corporation":false,"usgs":true,"family":"Davis","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":451699,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035727,"text":"70035727 - 2011 - Stochastic population dynamics in populations of western terrestrial garter snakes with divergent life histories","interactions":[],"lastModifiedDate":"2021-02-16T18:57:11.382931","indexId":"70035727","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic population dynamics in populations of western terrestrial garter snakes with divergent life histories","docAbstract":"Comparative evaluations of population dynamics in species with temporal and spatial variation in life‐history traits are rare because they require long‐term demographic time series from multiple populations. We present such an analysis using demographic data collected during the interval 1978–1996 for six populations of western terrestrial garter snakes (Thamnophis elegans) from two evolutionarily divergent ecotypes. Three replicate populations from a slow‐living ecotype, found in mountain meadows of northeastern California, were characterized by individuals that develop slowly, mature late, reproduce infrequently with small reproductive effort, and live longer than individuals of three populations of a fast‐living ecotype found at lakeshore locales. We constructed matrix population models for each of the populations based on 8–13 years of data per population and analyzed both deterministic dynamics based on mean annual vital rates and stochastic dynamics incorporating annual variation in vital rates. (1) Contributions of highly variable vital rates to fitness (λs) were buffered against the negative effects of stochastic variation, and this relationship was consistent with differences between the meadow (M‐slow) and lakeshore (L‐fast) ecotypes. (2) Annual variation in the proportion of gravid females had the greatest negative effect among all vital rates on λs. The magnitude of variation in the proportion of gravid females and its effect on λs was greater in M‐slow than L‐fast populations. (3) Variation in the proportion of gravid females, in turn, depended on annual variation in prey availability, and its effect on λs was 4–23 times greater in M‐slow than L‐fast populations. In addition to differences in stochastic dynamics between ecotypes, we also found higher mean mortality rates across all age classes in the L‐fast populations. Our results suggest that both deterministic and stochastic selective forces have affected the evolution of divergent life‐history traits in the two ecotypes, which, in turn, affect population dynamics. M‐slow populations have evolved life‐history traits that buffer fitness against direct effects of variation in reproduction and that spread lifetime reproduction across a greater number of reproductive bouts. These results highlight the importance of long‐term demographic and environmental monitoring and of incorporating temporal dynamics into empirical studies of life‐history evolution.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1438.1","issn":"00129658","usgsCitation":"Miller, D.A., Clark, W., Arnold, S., and Bronikowski, A., 2011, Stochastic population dynamics in populations of western terrestrial garter snakes with divergent life histories: Ecology, v. 92, no. 8, p. 1658-1671, https://doi.org/10.1890/10-1438.1.","productDescription":"14 p.","startPage":"1658","endPage":"1671","costCenters":[],"links":[{"id":475108,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/eeob_ag_pubs/187","text":"External Repository"},{"id":244078,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216220,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1438.1"}],"country":"United States","state":"California","county":"Lassen","otherGeospatial":"Eagle 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David A.","contributorId":29193,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":452087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, W.R.","contributorId":70716,"corporation":false,"usgs":true,"family":"Clark","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":452089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, S.J.","contributorId":80112,"corporation":false,"usgs":true,"family":"Arnold","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":452090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bronikowski, A.M.","contributorId":56880,"corporation":false,"usgs":true,"family":"Bronikowski","given":"A.M.","affiliations":[],"preferred":false,"id":452088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035728,"text":"70035728 - 2011 - Coexistence in streams: Do source-sink dynamics allow salamanders to persist with fish predators?","interactions":[],"lastModifiedDate":"2021-02-16T18:37:04.386805","indexId":"70035728","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Coexistence in streams: Do source-sink dynamics allow salamanders to persist with fish predators?","docAbstract":"Theory suggests that source–sink dynamics can allow coexistence of intraguild predators and prey, but empirical evidence for this coexistence mechanism is limited. We used capture–mark–recapture, genetic methods, and stable isotopes to test whether source–sink dynamics promote coexistence between stream fishes, the intraguild predator, and stream salamanders (Dicamptodon aterrimus), the intraguild prey. Salamander populations from upstream reaches without fish were predicted to maintain or supplement sink populations in downstream reaches with fish. We found instead that downstream reaches with fish were not sinks even though fish consumed salamander larvae—apparent survival, recruitment, and population growth rate did not differ between upstream and downstream reaches. There was also no difference between upstream and downstream reaches in net emigration. We did find that D. aterrimus moved frequently along streams, but believe that this is a response to seasonal habitat changes rather than intraguild predation. Our study provides empirical evidence that local-scale mechanisms are more important than dispersal dynamics to coexistence of streams salamanders and fish. More broadly, it shows the value of empirical data on dispersal and gene flow for distinguishing between local and spatial mechanisms of coexistence.
","language":"English","publisher":"Springer Link","doi":"10.1007/s00442-011-1935-y","issn":"00298549","usgsCitation":"Sepulveda, A.J., and Lowe, W., 2011, Coexistence in streams: Do source-sink dynamics allow salamanders to persist with fish predators?: Oecologia, v. 166, no. 4, p. 1043-1054, https://doi.org/10.1007/s00442-011-1935-y.","productDescription":"12 p.","startPage":"1043","endPage":"1054","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":244079,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216221,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00442-011-1935-y"}],"country":"United States","state":"Idaho","otherGeospatial":"Lochsa River basin of the Clearwater River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.653076171875,\n 46.145588688591964\n ],\n [\n -114.268798828125,\n 46.145588688591964\n ],\n [\n -114.268798828125,\n 46.93901161506044\n ],\n [\n -115.653076171875,\n 46.93901161506044\n ],\n [\n -115.653076171875,\n 46.145588688591964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"166","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-02-23","publicationStatus":"PW","scienceBaseUri":"5059f7a0e4b0c8380cd4cbff","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":452091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, W.H.","contributorId":91961,"corporation":false,"usgs":true,"family":"Lowe","given":"W.H.","affiliations":[],"preferred":false,"id":452092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035781,"text":"70035781 - 2011 - Method for detecting moment connection fracture using high-frequency transients in recorded accelerations","interactions":[],"lastModifiedDate":"2021-02-10T19:16:27.491912","indexId":"70035781","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2232,"text":"Journal of Constructional Steel Research","active":true,"publicationSubtype":{"id":10}},"title":"Method for detecting moment connection fracture using high-frequency transients in recorded accelerations","docAbstract":"The 1994 Northridge earthquake caused brittle fractures in steel moment frame building connections, despite causing little visible building damage in most cases. Future strong earthquakes are likely to cause similar damage to the many un-retrofitted pre-Northridge buildings in the western US and elsewhere. Without obvious permanent building deformation, costly intrusive inspections are currently the only way to determine if major fracture damage that compromises building safety has occurred. Building instrumentation has the potential to provide engineers and owners with timely information on fracture occurrence. Structural dynamics theory predicts and scale model experiments have demonstrated that sudden, large changes in structure properties caused by moment connection fractures will cause transient dynamic response. A method is proposed for detecting the building-wide level of connection fracture damage, based on observing high-frequency, fracture-induced transient dynamic responses in strong motion accelerograms. High-frequency transients are short (<1 s), sudden-onset waveforms with frequency content above 25 Hz that are visually apparent in recorded accelerations. Strong motion data and damage information from intrusive inspections collected from 24 sparsely instrumented buildings following the 1994 Northridge earthquake are used to evaluate the proposed method. The method’s overall success rate for this data set is 67%, but this rate varies significantly with damage level. The method performs reasonably well in detecting significant fracture damage and in identifying cases with no damage, but fails in cases with few fractures. Combining the method with other damage indicators and removing records with excessive noise improves the ability to detect the level of damage.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jcsr.2010.11.002","issn":"0143974X","usgsCitation":"Rodgers, J., and Celebi, M., 2011, Method for detecting moment connection fracture using high-frequency transients in recorded accelerations: Journal of Constructional Steel Research, v. 67, no. 3, p. 293-307, https://doi.org/10.1016/j.jcsr.2010.11.002.","productDescription":"15 p.","startPage":"293","endPage":"307","costCenters":[],"links":[{"id":244335,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216464,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jcsr.2010.11.002"}],"volume":"67","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a554ce4b0c8380cd6d1a0","contributors":{"authors":[{"text":"Rodgers, J.E.","contributorId":99069,"corporation":false,"usgs":true,"family":"Rodgers","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":452344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":452343,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035868,"text":"70035868 - 2011 - Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Overview of scientific and technical program","interactions":[],"lastModifiedDate":"2021-02-08T21:35:59.592744","indexId":"70035868","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Overview of scientific and technical program","docAbstract":"The Mount Elbert Gas Hydrate Stratigraphic Test Well was drilled within the Alaska North Slope (ANS) Milne Point Unit (MPU) from February 3 to 19, 2007. The well was conducted as part of a Cooperative Research Agreement (CRA) project co-sponsored since 2001 by BP Exploration (Alaska), Inc. (BPXA) and the U.S. Department of Energy (DOE) in collaboration with the U.S. Geological Survey (USGS) to help determine whether ANS gas hydrate can become a technically and commercially viable gas resource. Early in the effort, regional reservoir characterization and reservoir simulation modeling studies indicated that up to 0.34 trillion cubic meters (tcm; 12 trillion cubic feet, tcf) gas may be technically recoverable from 0.92 tcm (33 tcf) gas-in-place within the Eileen gas hydrate accumulation near industry infrastructure within ANS MPU, Prudhoe Bay Unit (PBU), and Kuparuk River Unit (KRU) areas. To further constrain these estimates and to enable the selection of a test site for further data acquisition, the USGS reprocessed and interpreted MPU 3D seismic data provided by BPXA to delineate 14 prospects containing significant highly-saturated gas hydrate-bearing sand reservoirs. The “Mount Elbert” site was selected to drill a stratigraphic test well to acquire a full suite of wireline log, core, and formation pressure test data. Drilling results and data interpretation confirmed pre-drill predictions and thus increased confidence in both the prospect interpretation methods and in the wider ANS gas hydrate resource estimates. The interpreted data from the Mount Elbert well provide insight into and reduce uncertainty of key gas hydrate-bearing reservoir properties, enable further refinement and validation of the numerical simulation of the production potential of both MPU and broader ANS gas hydrate resources, and help determine viability of potential field sites for future extended term production testing. Drilling and data acquisition operations demonstrated that gas hydrate scientific research programs can be safely, effectively, and efficiently conducted within ANS infrastructure. The program success resulted in a technical team recommendation to project management to drill and complete a long-term production test within the area of existing ANS infrastructure. If approved by stakeholders, this long-term test would build on prior arctic research efforts to better constrain the potential gas rates and volumes that could be produced from gas hydrate-bearing sand reservoirs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.02.015","issn":"02648172","usgsCitation":"Hunter, R., Collett, T.S., Boswell, R., Anderson, B., Digert, S., Pospisil, G., Baker, R., and Weeks, M., 2011, Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Overview of scientific and technical program: Marine and Petroleum Geology, v. 28, no. 2, p. 295-310, https://doi.org/10.1016/j.marpetgeo.2010.02.015.","productDescription":"16 p.","startPage":"295","endPage":"310","costCenters":[],"links":[{"id":244248,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216384,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.02.015"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167.6953125,\n 67.47492238478702\n ],\n [\n -140.888671875,\n 67.47492238478702\n ],\n [\n -140.888671875,\n 71.52490903732816\n ],\n [\n -167.6953125,\n 71.52490903732816\n ],\n [\n -167.6953125,\n 67.47492238478702\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5e91e4b0c8380cd70b20","contributors":{"authors":[{"text":"Hunter, R.B.","contributorId":29538,"corporation":false,"usgs":true,"family":"Hunter","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":452821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":452827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boswell, R.","contributorId":35121,"corporation":false,"usgs":true,"family":"Boswell","given":"R.","affiliations":[],"preferred":false,"id":452822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, B.J.","contributorId":70914,"corporation":false,"usgs":true,"family":"Anderson","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":452825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Digert, S.A.","contributorId":60047,"corporation":false,"usgs":true,"family":"Digert","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":452823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pospisil, G.","contributorId":77767,"corporation":false,"usgs":true,"family":"Pospisil","given":"G.","email":"","affiliations":[],"preferred":false,"id":452826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, R.","contributorId":11542,"corporation":false,"usgs":true,"family":"Baker","given":"R.","affiliations":[],"preferred":false,"id":452820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weeks, M.","contributorId":62432,"corporation":false,"usgs":true,"family":"Weeks","given":"M.","email":"","affiliations":[],"preferred":false,"id":452824,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035870,"text":"70035870 - 2011 - Prostate cancer outcome and tissue levels of metal ions","interactions":[],"lastModifiedDate":"2017-06-29T14:07:06","indexId":"70035870","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3197,"text":"Prostate","active":true,"publicationSubtype":{"id":10}},"title":"Prostate cancer outcome and tissue levels of metal ions","docAbstract":"There are several studies examining prostate cancer and exposure to cadmium, iron, selenium, and zinc. Less data are available on the possible influence of these metal ions on prostate cancer outcome. This study measured levels of these ions in prostatectomy samples in order to examine possible associations between metal concentrations and disease outcome.
We obtained formalin fixed paraffin embedded tissue blocks of prostatectomy samples of 40 patients with PSA recurrence, matched 1:1 (for year of surgery, race, age, Gleason grading, and pathology TNM classification) with tissue blocks from 40 patients without recurrence (n = 80). Case–control pairs were compared for the levels of metals in areas adjacent to tumors. Inductively coupled plasma-mass spectrometry (ICP-MS) was used for quantification of Cd, Fe, Zn, and Se.
Patients with biochemical (PSA) recurrence of disease had 12% lower median iron (95 µg/g vs. 111 µg/g; P = 0.04) and 21% lower zinc (279 µg/g vs. 346 µg/g; P = 0.04) concentrations in the normal-appearing tissue immediately adjacent to cancer areas. Differences in cadmium (0.489 µg/g vs. 0.439 µg/g; 4% higher) and selenium (1.68 µg/g vs. 1.58 µg/g; 5% higher) levels were not statistically significant in recurrence cases, when compared to non-recurrences (P = 0.40 and 0.21, respectively).
There is an association between low zinc and low iron prostate tissue levels and biochemical recurrence in prostate cancer. Whether these novel findings are a cause or effect of more aggressive tumors, or whether low zinc and iron prostatic levels raise implications for therapy, remains to be investigated.
","language":"English","publisher":"Wiley ","doi":"10.1002/pros.21339","issn":"02704137","usgsCitation":"Sarafanov, A., Todorov, T., Centeno, J., MacIas, V., Gao, W., Liang, W., Beam, C., Gray, M.A., and Kajdacsy-Balla, A., 2011, Prostate cancer outcome and tissue levels of metal ions: Prostate, v. 71, no. 11, p. 1231-1238, https://doi.org/10.1002/pros.21339.","productDescription":"8 p.","startPage":"1231","endPage":"1238","ipdsId":"IP-024814","costCenters":[],"links":[{"id":244279,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216410,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/pros.21339"}],"volume":"71","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-01-26","publicationStatus":"PW","scienceBaseUri":"505a8f5ee4b0c8380cd7f705","contributors":{"authors":[{"text":"Sarafanov, A.G.","contributorId":85418,"corporation":false,"usgs":true,"family":"Sarafanov","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":452839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todorov, T.I.","contributorId":10995,"corporation":false,"usgs":true,"family":"Todorov","given":"T.I.","email":"","affiliations":[],"preferred":false,"id":452832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Centeno, J.A.","contributorId":73806,"corporation":false,"usgs":true,"family":"Centeno","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":452837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacIas, V.","contributorId":107114,"corporation":false,"usgs":true,"family":"MacIas","given":"V.","email":"","affiliations":[],"preferred":false,"id":452840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gao, W.","contributorId":42031,"corporation":false,"usgs":true,"family":"Gao","given":"W.","email":"","affiliations":[],"preferred":false,"id":452834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liang, W.-M.","contributorId":54430,"corporation":false,"usgs":true,"family":"Liang","given":"W.-M.","email":"","affiliations":[],"preferred":false,"id":452835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beam, C.","contributorId":66092,"corporation":false,"usgs":true,"family":"Beam","given":"C.","email":"","affiliations":[],"preferred":false,"id":452836,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Marion A.","contributorId":193926,"corporation":false,"usgs":false,"family":"Gray","given":"Marion","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702625,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kajdacsy-Balla, A.","contributorId":81319,"corporation":false,"usgs":true,"family":"Kajdacsy-Balla","given":"A.","email":"","affiliations":[],"preferred":false,"id":452838,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70035922,"text":"70035922 - 2011 - Assessing forest vulnerability and the potential distribution of pine beetles under current and future climate scenarios in the Interior West of the US","interactions":[],"lastModifiedDate":"2021-02-09T12:36:18.992308","indexId":"70035922","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing forest vulnerability and the potential distribution of pine beetles under current and future climate scenarios in the Interior West of the US","docAbstract":"The aim of our study was to estimate forest vulnerability and potential distribution of three bark beetles (Curculionidae: Scolytinae) under current and projected climate conditions for 2020 and 2050. Our study focused on the mountain pine beetle (Dendroctonus ponderosae), western pine beetle (Dendroctonus brevicomis), and pine engraver (Ips pini). This study was conducted across eight states in the Interior West of the US covering approximately 2.2 million km2 and encompassing about 95% of the Rocky Mountains in the contiguous US. Our analyses relied on aerial surveys of bark beetle outbreaks that occurred between 1991 and 2008. Occurrence points for each species were generated within polygons created from the aerial surveys. Current and projected climate scenarios were acquired from the WorldClim database and represented by 19 bioclimatic variables. We used Maxent modeling technique fit with occurrence points and current climate data to model potential beetle distributions and forest vulnerability. Three available climate models, each having two emission scenarios, were modeled independently and results averaged to produce two predictions for 2020 and two predictions for 2050 for each analysis. Environmental parameters defined by current climate models were then used to predict conditions under future climate scenarios, and changes in different species’ ranges were calculated. Our results suggested that the potential distribution for bark beetles under current climate conditions is extensive, which coincides with infestation trends observed in the last decade. Our results predicted that suitable habitats for the mountain pine beetle and pine engraver beetle will stabilize or decrease under future climate conditions, while habitat for the western pine beetle will continue to increase over time. The greatest increase in habitat area was for the western pine beetle, where one climate model predicted a 27% increase by 2050. In contrast, the predicted habitat of the mountain pine beetle from another climate model suggested a decrease in habitat areas as great as 46% by 2050. Generally, 2020 and 2050 models that tested the three climate scenarios independently had similar trends, though one climate scenario for the western pine beetle produced contrasting results. Ranges for all three species of bark beetles shifted considerably geographically suggesting that some host species may become more vulnerable to beetle attack in the future, while others may have a reduced risk over time.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2011.03.036","issn":"03781127","usgsCitation":"Evangelista, P., Kumar, S., Stohlgren, T.J., and Young, N., 2011, Assessing forest vulnerability and the potential distribution of pine beetles under current and future climate scenarios in the Interior West of the US: Forest Ecology and Management, v. 262, no. 3, p. 307-316, https://doi.org/10.1016/j.foreco.2011.03.036.","productDescription":"10 p.","startPage":"307","endPage":"316","costCenters":[],"links":[{"id":244155,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216292,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2011.03.036"}],"country":"United States","state":"Arizona, Colorado, Idaho, Montana, New Mexico, Nevada, Utah, 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\"}}]}","volume":"262","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059edd4e4b0c8380cd49a30","contributors":{"authors":[{"text":"Evangelista, P.H.","contributorId":31708,"corporation":false,"usgs":true,"family":"Evangelista","given":"P.H.","email":"","affiliations":[],"preferred":false,"id":453151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, S.","contributorId":89843,"corporation":false,"usgs":true,"family":"Kumar","given":"S.","affiliations":[],"preferred":false,"id":453153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":453150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, N.E.","contributorId":61264,"corporation":false,"usgs":true,"family":"Young","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":453152,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035925,"text":"70035925 - 2011 - An introduction to the practical and ethical perspectives on the need to advance and standardize the intracoelomic surgical implantation of electronic tags in fish","interactions":[],"lastModifiedDate":"2021-02-08T17:54:47.70701","indexId":"70035925","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"An introduction to the practical and ethical perspectives on the need to advance and standardize the intracoelomic surgical implantation of electronic tags in fish","docAbstract":"The intracoelomic surgical implantation of electronic tags (including radio and acoustic telemetry transmitters, passive integrated transponders and archival biologgers) is frequently used for conducting studies on fish. Electronic tagging studies provide information on the spatial ecology, behavior and survival of fish in marine and freshwater systems. However, any surgical procedure, particularly one where a laparotomy is performed and the coelomic cavity is opened, has the potential to alter the survival, behavior or condition of the animal which can impair welfare and introduce bias. Given that management, regulatory and conservation decisions are based on the assumption that fish implanted with electronic tags have similar fates and behavior relative to untagged conspecifics, it is critical to ensure that best surgical practices are being used. Also, the current lack of standardized surgical procedures and reporting of specific methodological details precludes cross-study and cross-year analyses which would further progress the field of fisheries science. This compilation of papers seeks to identify the best practices for the entire intracoelomic tagging procedure including pre- and post-operative care, anesthesia, wound closure, and use of antibiotics. Although there is a particular focus on salmonid smolts given the large body of literature available on that group, other life-stages and species of fish are discussed where there is sufficient knowledge. Additional papers explore the role of the veterinarian in fish surgeries, the need for minimal standards in the training of fish surgeons, providing a call for more complete and transparent procedures, and identifying trends in procedures and research needs. Collectively, this body of knowledge should help to improve data quality (including comparability and repeatability), enhance management and conservation strategies, and maintain the welfare status of tagged fish.
","language":"English","publisher":"Springer Link","doi":"10.1007/s11160-010-9183-5","issn":"09603166","usgsCitation":"Brown, R., Eppard, M., Murchie, K., Nielsen, J.L., and Cooke, S.J., 2011, An introduction to the practical and ethical perspectives on the need to advance and standardize the intracoelomic surgical implantation of electronic tags in fish: Reviews in Fish Biology and Fisheries, v. 21, no. 1, p. 1-9, https://doi.org/10.1007/s11160-010-9183-5.","productDescription":"9 p.","startPage":"1","endPage":"9","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":244224,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216360,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11160-010-9183-5"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-30","publicationStatus":"PW","scienceBaseUri":"5059ea8ce4b0c8380cd48930","contributors":{"authors":[{"text":"Brown, R.S.","contributorId":68084,"corporation":false,"usgs":true,"family":"Brown","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":453167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eppard, M.B.","contributorId":9084,"corporation":false,"usgs":true,"family":"Eppard","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":453164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murchie, K.J.","contributorId":28097,"corporation":false,"usgs":true,"family":"Murchie","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":453165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielsen, Jennifer L.","contributorId":43722,"corporation":false,"usgs":true,"family":"Nielsen","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":453168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, S. J.","contributorId":55645,"corporation":false,"usgs":false,"family":"Cooke","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":453166,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194385,"text":"70194385 - 2011 - Long-term observations of Boreal Toads at an ARMI apex site","interactions":[],"lastModifiedDate":"2017-11-27T14:22:30","indexId":"70194385","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Long-term observations of Boreal Toads at an ARMI apex site","docAbstract":"The U.S. Geological Survey’s Amphibian Research and Monitoring Initiative (ARMI) is a national project with goals to monitor the status and trends of amphibians, conduct research on causes of declines, and provide information and support to management agencies for conservation of amphibian populations. ARMI activities are organized around extensive inventories and place-based monitoring (such as collaboration with the Greater Yellowstone Inventory and Monitoring Network), and intensive population studies and research at selected locations (apex sites). One such site is an oxbow pond on the Buffalo Fork near the Black Rock Ranger Station east of Grand Teton National Park. We have been conducting mark-recapture of boreal toads (Anaxyrus boreas) at Black Rock since 2002. In concert with studies of other toad populations in the Rocky Mountains, we have documented a high rate of incidence of the chytrid fungus Batrachochytrium dendrobatidis (Bd) and a negative rate of growth of the toad population, but not the population crash or extinction observed in other populations with high prevalence of Bd. Long-term observations at other ARMI apex sites have proven invaluable for studying effects of climate change on amphibian behavior, and the Black Rock site has been upgraded with onsite recording of weather data and auditory monitoring of other amphibian species. Continued research at Black Rock will be critical for understanding the interrelated effects of climate and disease on amphibians in the Greater Yellowstone Ecosystem.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Questioning Greater Yellowstone’s future: Climate, land use, and invasive species. Proceedings of the 10th Biennial Scientific Conference on the Greater Yellowstone Ecosystem","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th Biennial Scientific Conference on the Greater Yellowstone Ecosystem","conferenceDate":"October 11–13, 2010","conferenceLocation":"Yellowstone National Park, WY, and Laramie, WY","language":"English","publisher":"Yellowstone Center for Resources and University of Wyoming William D. Ruckelshaus Institute of Environment and Natural Resources","usgsCitation":"Corn, P.S., Muths, E.L., and Pilliod, D., 2011, Long-term observations of Boreal Toads at an ARMI apex site, in Questioning Greater Yellowstone’s future: Climate, land use, and invasive species. 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Roughly 60% of the remnant Everglades has surface water sulfate concentrations above 1 mg l-1, a restoration performance measure based on present sulfate levels in unenriched areas. Highly enriched marshes in the northern Everglades have average sulfate levels of 60 mg l-1. Sulfate loading to the Everglades is principally a result of land and water management in South Florida. The highest concentrations of sulfate (average 60-70 mg l-1) in the ecosystem are in canal water in the Everglades Agricultural Area (EAA). Potential sulfur sourcesin the watershed are many, but geochemical data and a preliminary sulfur mass balance for the EAA are consistent with sulfur presently used in agricultural, and sulfur released by oxidation of organic EAA soils (including legacy agricultural applications and natural sulfur) as the primary sources of sulfate enrichment in the EAA canals. Sulfate loading to the Everglades increases microbial sulfate reduction in soils, leading to more reducing conditions, greater cycling of nutrients in soils, production of toxic sulfide, and enhanced methylmercury (MeHg) production and bioaccumulation. Wetlands are zones of naturally high MeHg production, but the combination of high atmospheric mercury deposition rates in South Florida and elevated sulfate loading leads to increased MeHg production and MeHg risk to Everglades wildlife and human consumers. Sulfate from the EAA drainage canals penetrates deep into the Everglades Water Conservation Areas, and may extend into Everglades National Park. Present plans to restore sheet flow and to deliver more water to the Everglades may increase overall sulfur loads to the ecosystem, and move sulfate-enriched water further south. However, water management practices that minimize soil drying and rewetting cycles can mitigate sulfate release during soil oxidation. A comprehensive Everglades restoration strategy should include reduction of sulfur loads as a goal because of the many detrimental impacts of sulfate on the ecosystem. Monitoring data show that the ecosystem response to changes in sulfate levels is rapid, and strategies for reducing sulfate loading may be effective in the near term. A multifaceted approach employing best management practices for sulfur in agriculture, agricultural practices that minimize soil oxidation, and changes to stormwater treatment areas that increase sulfate retention could help achieve reduced sulfate loads to the Everglades, with resulting benefits.
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As part of this effort, the Mount Elbert well included an advanced downhole geophysical logging program. Because gas hydrate is unstable at ground surface pressure and temperature conditions, a major emphasis was placed on the downhole-logging program to determine the occurrence of gas hydrates and the in-situ physical properties of the sediments. In support of this effort, well-log and core data montages have been compiled which include downhole log and core-data obtained from the gas-hydrate-bearing sedimentary section in the Mount Elbert well. Also shown are numerous reservoir parameters, including gas-hydrate saturation and sediment porosity log traces calculated from available downhole well log and core data.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.03.016","issn":"02648172","usgsCitation":"Collett, T.S., Lewis, R., Winters, W.J., Lee, M.W., Rose, K., and Boswell, R., 2011, Downhole well log and core montages from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Marine and Petroleum Geology, v. 28, no. 2, p. 561-577, https://doi.org/10.1016/j.marpetgeo.2010.03.016.","productDescription":"17 p.","startPage":"561","endPage":"577","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475448,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/4388","text":"External Repository"},{"id":246457,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218447,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.03.016"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -166.728515625,\n 67.33986082559095\n ],\n [\n -141.064453125,\n 67.33986082559095\n ],\n [\n -141.064453125,\n 71.18775391813158\n ],\n [\n -166.728515625,\n 71.18775391813158\n ],\n [\n -166.728515625,\n 67.33986082559095\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a03b3e4b0c8380cd505fd","contributors":{"authors":[{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":453771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, R.E.","contributorId":31735,"corporation":false,"usgs":true,"family":"Lewis","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":453768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winters, William J. bwinters@usgs.gov","contributorId":522,"corporation":false,"usgs":true,"family":"Winters","given":"William","email":"bwinters@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":453769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Myung W.","contributorId":84358,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","middleInitial":"W.","affiliations":[],"preferred":false,"id":453770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rose, K.K.","contributorId":102306,"corporation":false,"usgs":true,"family":"Rose","given":"K.K.","email":"","affiliations":[],"preferred":false,"id":453773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, R.M.","contributorId":94534,"corporation":false,"usgs":true,"family":"Boswell","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":453772,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70175392,"text":"70175392 - 2011 - Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution","interactions":[{"subject":{"id":70175392,"text":"70175392 - 2011 - Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution","indexId":"70175392","publicationYear":"2011","noYear":false,"chapter":"8","title":"Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1}],"isPartOf":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"lastModifiedDate":"2020-08-31T14:30:51.708526","indexId":"70175392","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution","docAbstract":"Management of medium to large-sized terrestrial mammals (Antilocapridae, Canidae, Cervidae, Leporidae, Mustelidae, Ochotonidae) in the western United States is multifaceted and complex. Species in this group generally are charismatic and provide economic opportunities, although others are considered a nuisance at one extreme or are listed as species of conservation concern at the other. Understanding the relative influence of land cover, habitat fragmentation, and human land use on their distribution during the breeding season is imperative to inform management decisions on land use and conservation planning for these species. We surveyed medium to large-sized sagebrush (Artemisia spp.)-associated mammal species in 2005 and 2006 on 141 random transects (mean length = 1.1 km) in the Wyoming Basins, an area undergoing rapid land cover transformation due to human actions including energy development. Overall, we observed 10 species but only obtained enough observations of pronghorn (Antilocapra americana) to develop spatially explicit distribution models. For pronghorn, occurrence related positively to proportion of sagebrush land cover within 0.27 km, mixed shrubland land cover within 3 km, riparian land cover within 5 km, Normalized Difference Vegetation Index (NDVI) within 0.27 km, road density within 5 km, and decay distance to power line corridors at 1 km, but negatively to salt-desert shrubland cover within 18 km and an interaction between sagebrush and NDVI within 0.27 km. We found excellent predictive capability of this model when evaluated with independent test data. The model provides a basis for assessing the effects of proposed development on pronghorn and can aid planning efforts to avoid or mitigate adverse effects on pronghorn.
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